The article develops methods and algorithms using the construction and fuzzy evaluation of experimental distribution functions of dynamograms to evaluate the selection of well equipment and modes in the diagnostic and control systems of rod, deep pump oil wells. Informative identification signs were formed from the values of the experimental distribution function of dynamograms. A measure of proximity between the informational characteristics of the wells selected as the reference and the wells whose current status will be determined was determined, and the identification algorithm of dynamograms and wells was given by this measurement.Several modes were selected for fuzzy assessment of well equipment and mode selection and appropriate mebership functions were identified. Examples of valuation rules using the values of mebership functions have been identified. The article presents fragments of software modules created.